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机构地区:[1]安徽大学计算机智能与信号处理教育部重点实验室,安徽合肥230039
出 处:《安徽大学学报(自然科学版)》2015年第1期25-31,共7页Journal of Anhui University(Natural Science Edition)
基 金:国家自然科学基金资助项目(61172127);安徽省自然科学基金资助项目(1208085QF104);安徽省高校优秀青年人才基金资助项目(2012SQRL017ZD)
摘 要:为更有效地保护多媒体数据,文中提出了一种基于DWT(discrete wavelet transform)、DCT(discrete cosine transform)与SVD(singular value decomposition)结合的盲视频水印算法.利用视频帧内的R、G通道的颜色差值进行关键帧的快速选取,将关键帧的B分量进行多级离散小波变换,对变换后的子带进行Arnold置乱,将水印嵌入到置乱后的子带奇异值中.当嵌入水印视频受到攻击时,利用彩色图像各颜色通道间像素差值很小和奇异值分解的稳定性,用嵌入水印视频关键帧的G分量代替原始视频关键帧的B分量,实现水印的盲提取.实验结果表明,该算法对噪声、滤波、裁剪、帧置乱、帧平均、MPEG(moving pictures experts group)压缩等攻击具有较好的鲁棒性.This paper proposed a blind video watermarking algorithm based on DWT,DCT and SVD.The key frames were selected quickly by color difference of red and green channel in video frames,then performed the blue component of each of key frames on multi-level DWT.Sub-band was scrambled by Arnold transforms,the watermark was embedded into singular value of scrambled sub-band.When the video sequence was under attack,by using the small differences of each color channel pixels of color image and the stability of the singular value decomposition,this paper used the green component of key frames in a watermarked video to replace the blue component of key frames in the original video and extracted watermark blindly.The experimental results demonstrated that the algorithm was robust against noise addition,filtering attack,cropping attack,frame scrambling,frame averaging and MPEG compression.
分 类 号:TN911[电子电信—通信与信息系统]
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